0.5Γβ Perlahan Β· Cepat β
π¬Tekan Play Demo untuk lihat Lecturer Journal Display Agent.
Demo Complete All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
π₯
Ambil data jurnalDari repositori institusi
2
π
Kira metrikCitaton, impact factor, status
3
π
Analisis kualitiGabungan stats dan trend
π
Paparkan laporanDashboard + format export
import requests, json
JOURNAL_API = "https://api.university.edu/v1/journals"
def fetch_journal_data(lecturer_id):
resp = requests.get(JOURNAL_API, params={"lecturer": lecturer_id})
return resp.json().get("publications", [])
def analyze_metrics(journals):
total_citations = sum(j["citations"] for j in journals)
avg_if = sum(j["factor"] for j in journals) / len(journals)
published = len([j for j in journals if j["status"] == "Published"])
return {"total_citations": total_citations, "avg_impact": avg_if, "published": published}
report = analyze_metrics(fetch_journal_data("LEC001"))
print(json.dumps(report))
04 Block Diagram
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05 System Schematic
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β οΈ Verify journal information with institutional repository before publishing.
06 Simulasi Analisis Jurnal
Mula Analisis
AI Compliance Study453.2Published
ERP Performance1284.1Indexed
LLM Ethics232.8Accepted
NeuralOps Case671.9Under Review
Summary2632.754 papers
07 Journal Report
Terminal Log
[SISTEM] Lecturer Journal Display Agent sedia
System Architecture
π€ Agent Layer
Journal fetcher
Metrics calc
Impact analyzer
LLM renderer
π Education Layer
Institutional API
Repository
Research DB
Metrics export
Safety Notes
- Verify journal information with institutional repository before publishing.
- Configure role-based access for research dashboards.
- Validate citation counts against Scopus/Web of Science.
- Browser demo does not connect to real APIs.